Triple
T16817068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dale T. Mortensen |
E408780
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Mortensen
Mortensen is a surname of Scandinavian origin borne by various notable individuals across fields such as economics, arts, and sports.
|
E1235495
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mortensen | Statement: [Dale T. Mortensen, familyName, Mortensen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mortensen Context triple: [Dale T. Mortensen, familyName, Mortensen]
-
A.
Martinsen
Martinsen is a Scandinavian patronymic surname meaning "son of Martin," related to the Spanish surname Martinez.
-
B.
Thorkildsen
Thorkildsen is a Norwegian surname borne by various notable individuals across fields such as sports and politics.
-
C.
Morten
Morten is a masculine given name commonly used in Scandinavian countries, derived from the Latin name Martinus.
-
D.
Mogensen
Mogensen is a Danish surname borne by various notable individuals in fields such as politics, sports, and science.
-
E.
Jørgensen
Jørgensen is a common Danish surname borne by numerous notable figures in fields such as politics, architecture, sports, and the arts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mortensen Triple: [Dale T. Mortensen, familyName, Mortensen]
Generated description
Mortensen is a surname of Scandinavian origin borne by various notable individuals across fields such as economics, arts, and sports.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mortensen Target entity description: Mortensen is a surname of Scandinavian origin borne by various notable individuals across fields such as economics, arts, and sports.
-
A.
Martinsen
Martinsen is a Scandinavian patronymic surname meaning "son of Martin," related to the Spanish surname Martinez.
-
B.
Thorkildsen
Thorkildsen is a Norwegian surname borne by various notable individuals across fields such as sports and politics.
-
C.
Morten
Morten is a masculine given name commonly used in Scandinavian countries, derived from the Latin name Martinus.
-
D.
Mogensen
Mogensen is a Danish surname borne by various notable individuals in fields such as politics, sports, and science.
-
E.
Jørgensen
Jørgensen is a common Danish surname borne by numerous notable figures in fields such as politics, architecture, sports, and the arts.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d88394566c8190b3dcbdc72935f7fa |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b2e30cf48190a61936ba0a49df24 |
completed | April 18, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00b297778c81909a2545c359739151 |
completed | May 10, 2026, 4:30 p.m. |
| NEDg | Description generation | batch_6a00b4caae5081909017095977093704 |
completed | May 10, 2026, 4:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00b52f58e08190a28506f03fbeda15 |
completed | May 10, 2026, 4:41 p.m. |
Created at: April 10, 2026, 5:23 a.m.